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摘要


In this paper, a scheme based on the improved network structure model is proposed to solve the problems of slow loss gradient descent, slow recognition rate gradient rise and poor stability in face recognition of AlexNet network.Based on AlexNet network, the first two convolutional layers are decomposed and filled, while one convolutional layer and one full connection layer are removed.The structure consists of 6 convolutional layers, 3 pooling layers and 2 full connection layers.We compared the performances by testing face recognition on ORL face dataset and found that the improved convolutional kernel network is superior to AlexNet network in general.

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